Xiao He

According to our database, Xiao He authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning.

Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei

CoRR, 2024

2023

Learning-based query optimization for multi-probe approximate nearest neighbor search.

Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, Feilong Tang

VLDB J., May, 2023

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.

Chunhui Shen, Qianyu Ouyang, Feibo Li, Zhipeng Liu, Longcheng Zhu, Yujie Zou, Qing Su, Tianhuan Yu, Yi Yi, Jianhong Hu, Cen Zheng, Bo Wen, Hanbang Zheng, Lunfan Xu, Sicheng Pan, Bin Wu, Xiao He, Ye Li, Jian Tan, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2023

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting.

Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li

Proc. VLDB Endow., 2023

Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution.

Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices.

Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

SAM: Database Generation from Query Workloads with Supervised Autoregressive Models.

Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

Kernel conditional clustering and kernel conditional semi-supervised learning.

Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt

Knowl. Inf. Syst., 2020

2018

Multi-target drug repositioning by bipartite block-wise sparse multi-task learning.

Limin Li, Xiao He, Karsten M. Borgwardt

BMC Syst. Biol., 2018

Kernelized rank learning for personalized drug recommendation.

Xiao He, Lukas Folkman, Karsten M. Borgwardt

Bioinform., 2018

2017

Multi-view Spectral Clustering on Conflicting Views.

Xiao He, Limin Li, Damian Roqueiro, Karsten M. Borgwardt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Kernel Conditional Clustering.

Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017